Zobrazeno 1 - 10
of 31
pro vyhledávání: '"G. Jaya Suma"'
Publikováno v:
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 27:277-301
Graph-Based Data Mining (GBDM) is an emerging research topic nowadays, for the retrieval of the essential information from the graph database. There exist many algorithms that find frequent patterns in a given graph database. One such algorithm, GAST
Autor:
P. Aruna Kumari, G. Jaya Suma
Publikováno v:
HELIX. 9:4802-4807
Autor:
Jose Moses Gummadi, G. Jaya Suma, A. Krishna Mohan, E. Laxmi Lydia, Ravuri Daniel, Chinmaya Ranjan Pattanaik
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789813349087
COVID-19 is referred to as a broad disaster struck out in the society as a challenge. The large quantity of statistical information requires machine tools to improve the knowledge and accelerate COVID-19 forecast, analysis, and its corresponding reme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc59908191216d53174fc244cffd1244
https://doi.org/10.1007/978-981-33-4909-4_28
https://doi.org/10.1007/978-981-33-4909-4_28
Autor:
Chinmaya Ranjan Pattanaik, G. Jaya Suma, A. Krishna Mohan, Ravuri Daniel, E. Laxmi Lydia, Jose Moses Gummadi
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789813349087
Researchers from different disciplines are striving to leverage a solution for COVID-19 with a unique commitment of scientific collaborations and with cognitive technologies, and highly flexible learning processes are required to maintain the transmi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3af5893fb84fd7eacb3acd77b4fd4cc7
https://doi.org/10.1007/978-981-33-4909-4_65
https://doi.org/10.1007/978-981-33-4909-4_65
Autor:
G. Jaya Suma, Kovvuri N. Bhargavi
Publikováno v:
Proceedings of the 2020 8th International Conference on Communications and Broadband Networking.
Floods are the most common natural disasters and researchers turned their spotlight on prediction of rainfall for rescuing lives of the people before or after its arrival. The intensity of flood majorly relies on heavy rainfall. If the rainfall is pr
Autor:
P. Aruna Kumari, G. Jaya Suma
Publikováno v:
Computational Intelligence and Big Data Analytics ISBN: 9789811305436
Medical diagnostic support systems often deal with a large number of disease measurements and relatively small number of patient records. All these measurements (features) may not be relevant for diagnosing, and some may contain noise due to human or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3dd5393ef4652eb89819e93fa4de114b
https://doi.org/10.1007/978-981-13-0544-3_12
https://doi.org/10.1007/978-981-13-0544-3_12
Autor:
R. V. S. Lalitha, G. Jaya Suma
Publikováno v:
International Journal of Computer Applications. 129:20-25
The causes of road accidents lead to emergency communication between vehicular nodes. It is true that the onthe-spot messaging helps in rescuing victim’s life. The establishment of unprepared communication across vehicular nodes is possible with th
Autor:
G. Jaya Suma, R. V. S. Lalitha
Publikováno v:
Wireless Networks. 22:1725-1737
Vehicular Ad hoc Network (VANET) is a type of mobile ad hoc network based on short range communications among vehicles moving on roads and between moving vehicles and road side units. Endangerment situations occur when a vehicle met with an accident
Publikováno v:
International Journal of Pattern Recognition and Artificial Intelligence. 34:2053003
An interesting research area that permits the user to mine the significant information, called frequent subgraph, is Graph-Based Data Mining (GBDM). One of the well-known algorithms developed to extract frequent patterns is GASTON algorithm. Retrievi
Autor:
G. Jaya Suma, R. Manjula
Publikováno v:
International Journal of Computer Applications. 75:46-51
This paper’s centre of attention is on the problem of data mining (in general) and clustering (in specific) on a hidden web data. We know that data mining is a process that analyzes and extracts knowledge from large amounts of data which provides u